{
 "metadata": {
  "name": "General Game Learning Tests"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Frogger"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from matplotlib import rc\n",
      "rc('font',**{'family':'sans-serif','sans-serif':['Times']})\n",
      "rc('font',**{'family':'serif','serif':['Times']})\n",
      "rc('text', usetex=True)\n",
      "\n",
      "matplotlib.rcParams.update({'font.size': 13})\n",
      "matplotlib.rcParams.update({'legend.fontsize': 13, 'legend.linewidth': 2})\n",
      "\n",
      "import scipy\n",
      "import scipy.ndimage\n",
      "import scipy.ndimage.filters"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir         = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_random    = loadtxt(ggl_dir + r\"\\dataDump\\frogger\\difficulty=hard.random=1\\Score.txt\")\n",
      "score_always_up = loadtxt(ggl_dir + r\"\\dataDump\\frogger\\difficulty=hard.alwaysUp=1\\Score.txt\")\n",
      "score_sarsa     = loadtxt(ggl_dir + r\"\\dataDump\\frogger\\difficulty=hard.sarsa=1.alpha=0.01.crazyHack=0.midtermReward=0\\Score.txt\")\n",
      "\n",
      "s = scipy.ndimage.filters.uniform_filter1d(score_sarsa,     50, mode=\"reflect\")\n",
      "a = scipy.ndimage.filters.uniform_filter1d(score_always_up, 50, mode=\"reflect\")\n",
      "r = scipy.ndimage.filters.uniform_filter1d(score_random,    50, mode=\"reflect\")\n",
      "\n",
      "ds = scipy.ndimage.correlate1d(s, [-1,0,1], mode=\"reflect\").astype(float32)\n",
      "da = scipy.ndimage.correlate1d(a, [-1,0,1], mode=\"reflect\").astype(float32)\n",
      "dr = scipy.ndimage.correlate1d(r, [-1,0,1], mode=\"reflect\").astype(float32)\n",
      "\n",
      "cla();\n",
      "plot(ds[100:2600] * (1.0/1000.0), label=r\"Our Method\");\n",
      "plot(da[100:2600] * (1.0/1000.0), label=r\"Always Move Up\");\n",
      "plot(dr[100:2600] * (1.0/1000.0), label=r\"Random Movement\");\n",
      "ylim([-2.5, 0.8]);\n",
      "lg = legend(loc=4, ncol=3, mode=\"expand\", handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Frogger} Reward Per Episode (50 episode moving average)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"frogger.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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KmAuCV8Y3XqQPZtnjAIQUFbl+3ejRhPz6q/X+xEThcFmMri6arqfVAz/8QGeK\n19XR7bVrhSoCe6xaRcju3cJ9tbX0fvv30229npAPPyTkwAHhefv2EfLaa4S0tbmf9//+l5C8PEI+\n/ZT+OnqGhBDy+eeENDY6d//2dkJef52qzbZsoc8/NlY4cxkg5Pnnhdf160fz4y1VFuPbb2k6/frR\n5zt6NCFLlji+rraWkK++cj29XbuoCufgQfr/hea77wj5298ImTiRbs+YQeuvs3R30+9YqaTv8dw5\nqh79y1/oe05Lo+X1FN5qO/tci9zbQuSFFwjJzu7VJB3irhCJj6c6eEvGjqV6XnvU1tLKLtH7yOU0\nVIil8GB/Dz1Ew4OwUB7BweJhXbzFFVcQsmMHIYMGUdvRn4lDhwgZMoSQ22+n7+K771y/xy23CMPc\nFBbS7b//3bN59VbbKdlEHLBsGR2qr1zpmfvt3k09UkJCqOtea6tZVxoURCdhEUI9QPr3p3r0w4ep\nt1FlpVnHX15OwyA4S3c39bMXm3vhjO59yxbvq0ckxFGraUDB8HBaNywDGOp0NLT9jz8CCxfS+uqM\nStCT+WOBHr05M/piRK2mc6E++YRuu1N+piJmk3LZd9ZXvjevCJHs7GwM/t25ua6uDi+99JJHz+9N\nLMNz9ARCbLvHfvghdbVNSRGuJzFvHjUAP/ggnVV77bV0/8qV1GXXWf3ygQO0sorpq1mkT1s0NVHd\nu7dDSkuIM38+XQfl2WepW/Pu3dQAe/fdNMZXRQU978QJatuSy71nUBfj1ltpvLTZs4Vzaf4MqFTU\nFZgJETanwxXmzRO6RY8bR79zRwuZXTR4emgza9Yskpuby21nZ2eTbDv6IFfP90KW7cJcCj2BXk+I\nj4+4SuKtt8zp8f+uu47+TplifezUKefT3rKFRpQV45577KvHtFpC4uKcT0ui9ygvp3VhyBDqcqrR\nULWSRO/y3HPOu8pfKLzVdnrUO0uj0WDdunXIzs7m9mVnZ6OwsBBGEX2Jq+dfKFivrqmpZ/fR6ahL\n6pw51sfa2sSvOXqUXrN/PwBZN+DfxHn5uLKuxvnztofaarU5kJ1YPizXX5C4eGDvZdAgOrlSo/H8\nIk4SjnEldNAfDY8KkdLSUgBAAs/xPfF3B3t2rCfn9zYsfk5tLQ1tHRZGddPu8sMPVO8p5v7HZCbz\ne2dqqqoq6gve3AyM/tsy4MkwzHpkFwA6y5kFXnNEUZHtxkWhoOtwb95M0+eHVKiro3M4xAIKSlx4\nmJvo6NEENuOiAAAgAElEQVTUtjZtmvSuLgQTJvx5O1oeFSJVIhHJlL8H0tFoND0+v7cxGKhP+j33\nmFelswzz4ArNzXRC2oQJ5hAd998PrFhhDurW2krDYbS2mle3e+EFquuemEkjDE6/05yJ//7XubTb\n2sxBEC256ipq+1mxgm6zwIjs/8GDqc1G4uIjMJAqN1991Rxanc1dkeg9brjB/bVC+jp90jvrGV5I\nysmTJ2OylyxQbG0EtdocsZO/8I279wPMKjJfX7N3FIsDZOmdwQLamdpNCAsIQ32LORPOTv6zF4yP\nzbxlgtIyuNuftYclIdGX2b59O7bzV0XzEh4VIsnJyVb79L8vGpHKj7Xh5vmMZ7wY1/jIEeotcfPN\ntPet0ZgD9YWGOp7Z/frrdJb0/ffTa+fMoTONS0upBwY/hANA1+UICaGjDhYOm4VRYI03C1rY1NGE\nAeED0NhuzoRYyHEx7AmD6Gjg1Cnhuc5cJ3FxkZJie/1yiT8flh3sZcuWeSUdjwqRadOmAQC0Wi1n\n22BqqfT09B6f3xvs20fVSSUlVAjQvNDf2FjH8ykeeYSqGO6/nxrFDx6kdpAff6T/8118T5yg6rKT\nJ2ljTQgNecBGKeHhdD8zpJvaTYgJi4GxzQiDgaot1q+nx44epeEPxEYm7e3UKcBWiG6l0uzKfN99\n7guRbtKNalM1YsIdrFgl4RW+/db+qnkSEt7AozaRpKQkLFy4EAUFBdy+goICZGdnQ/67HqeiogJ5\neXlOn9/bsCU0+Q0p8+GOi3POI4p9yAYDDdzH1ubW64Wxq+LjqcAZMID2IGtrrYO28T2qmtrpSMTQ\nZoBcToMHNjZSYTR0KDWMi1FbS8NG+9h420xo+fub1wFnuLJWwXfHvsOAVwc4PlHCK/DDhktI9BYe\nD8C4cuVK6PV65OfnIz8/HxEREXjvvfe446WlpSgqKnL6/N6mvJxGg+U3pKwnnpxMBcNXX9E1LPic\nOgV88AH9v70deO89OvKIi6OjBIAKF7FePZsA+Ouv9nv9pnYTYsJjsE27DYA5QN8TT9Dj/DWm+Tg7\nmvD1pefxV14rK3N87dG6o8gpzcHGoxsBAF3dTiw+LdGrfPrbp9C36i90NiT+iHhl9okX8XaWb7qJ\nxuf386OTh7Zto4HSPvyQkA0bCLnySrr/mmuE182dS/crFObJgAMGELJggXn/G2/YXjth9Wo64dBe\nQMCkN5LINu02gmdAuru7SUcHIe+8Q8irrxIybhwhL70kfl1JiXV+Ldm0iZ63eTNdp4ExciQNtGeP\nd39+l+AZkP6v9Cd4BqTGVGP/AoleB8+AvLn7zQudDYkLiLfazj7pneVNmproSESppGqgyy+n6p47\n76ShQ3bupOcxI/iQIcC//21WCXV10bkWra00lAhbzWzRIuChh2ynKzYB0RJTuwkjokYgLCAMxjYj\nFEEK3H8/PdbRYdvF0JmRCAuncuqU0O7D1kiwBzP0nzfRGYu1zbVQh0rWeAmJPwPSeiI8ThpOorb9\nNORys6GZv+gN3zZw+jSdo3HsGDVoMkwm8+zVlhbzNfYWz3GWpvYmhAaEIiwgDKWaUrR3mQN7sfXJ\nxbBc69keajUVngcO0PGUMwLI1G52CVIFqXC0/qhziUn0Cm2dNAyBv6//Bc6JxB8RSYjwuO6T63B4\n3K02o9pGRJgXwhk9mk4wAqgdhS1+tGoVne/BPLpSUqjHFjvXXbpJN1o6WxDiH4J4RTxmrZ2F/B/y\nuePx8dSmIsbhw84bx4OC6Khm1CgqEGUyx27EfJfj8bHjcUBnQ5pJXBB+raYVo7mj+QLnROKPiKTO\n4nGw9iAQSV1r4xc8itZtjwCI4477+ACffkr/CKHbV19Nje0KBQ3HzdRSQUE08u3EicCVV/Y8b80d\nzQjyC4KPzAeXx16On8/8jOqmau74mDHmMC2W1NcD48e7nubx484tu8kfiUxJmIKapj/p1N2LFGMb\n7RHx35OEhKeQRiIiREYCJwe+hidW7rR5DrOBqFTUdZc/Gx0wu9Pacqt1lab2JoQF0Djb6hCqX+J7\n20RE0Dyw0BcAHUk0Nro/YbCqSlgmWzS2NeKt69/CoQcOQR2ixtnGs+gm3a4n6ABCF1Fz69q2zja3\nr+3rMCHCHzFKSHiKPilEmAHXWwQE0MbmeOfPds+79FIgM5M23pZCxNNB8EztJoT6U19gVRCdwv7x\n3o85QeLjQwUJm5Ny7Bh1DlCpHLsOWzJzJv3duNFJIdLeiARlAoZFDcOwqGH48tCXeGmn59eECXkx\nBC//8LJb10blR+GpbU95OEd9A2kkIuFN+qQQOWM84/ikHpC/i9oa+IZrMX7+GbjjDnEhcsklnp09\n3NRhHolcEX8FACBeEY9zjebJIWq1eX7LqVNUjXbVVeZjzlJcTL3J/vUv54SIqd2E8AAaq2Vi3ESs\nyFyBk4aTzifoJK2drdh50vbo0B6mdhP2Vu/1cI76BsY2IxSBCjS2SSMRCc/TJ4WIrlnn+KQekFOa\nAwCCQIe2CA2ltgidzhzjyhuY2k0IDaAjkWGRw/DS1JcQJ48TPIvoaLMQqamhgsPvd6uXsysgMpiR\n3pkyNbQ0QBFkNp5EBEc49ezcoaO7w/FJNujs7vRgTvoO9S31iFfESyMRCa/QJ4WIpw23q/auQvRL\ncVb7nem5+fjQhra+3nuBCv9V8S8s2riIG4kE+wcj58ocqEPV0DXpcM9X92CrdivUarqeRFAQ8P33\nNGSKrcWuHJGWRn8deXWdbTyL32p+Q/+w/tw+eaDcJf37mv1rsKRkiVPnykCNUScNJyFbJsML/3vB\n6XTYtX82dM06JKmSOLVWX2LG5zPw1aGvLnQ2HFLfUo+0wjSv2AIvdvqkENE1uT8S6eoSrmF+9iyw\n4sdXoWs7jZH1OXj5mhXcMUObc0sHlpcDhw653tt3hm7SjYc2PYTfan6Dv4/Qz18dosY50zl88MsH\n2HBkA4L7nQGUWrS1Adu3U+HmrhB59VVg717A0XL32gYthkYOtRIix+qPoaXDhruYBUtKlnAqREfI\nfvdoOFpH56I4Y+dg8yQcqSf/qOiadBihHoHTxtM9+nYuBOsPrcd3Vd9dkLRdUcnuOL4DFecq/pSh\nZfqmEOmBOmvVKhqNlzFwIFCrow3TsPB0XBZHQ9CPUo9yuuc2aBCNq+UNtmq3cv793x77VnBMHarG\n8/97ntv+KCoWeDgJAFBdTe0Z7goRf3/qHODIxdfYZkSiMlGwjwmRxSWLHaZz0nASJwyur/RV21zr\n9Lnsw+6LPXFPoGvWYWTUSBytP4pL3rvkQmfHZXqiwnQXfaseg14f5JTQrW2uxYw1M7j//2z86YTI\nmTMAJqxA1tosFH1kAPxacKqrHAAQFaJGoC8dTnx929cwtLqwiLmXsGcMVoeoubkiLCgjo7aWChE2\nCdJbGNuMkAcKre9s+1j9MYfX8x0DnEEGGVo7W/HId4/YPKejqwN5P+RhwYYF+Prw1/j+5PcAgD1n\n9+DT3z51Kb2+CiEEz2x/BqkFqdh+fDtGqGnsGndVwa/vft3rLtLrD66HtkHLbV/IQJ7/O/E/AI61\nEc0dzcgtzeW2X9/9eo/SPa4/ji8OftGje/Q2fVOI9GBI3t0N4NrHUHygGCtW7QVUdNGQK41vYnj4\npRgfOx5b5m/xqnHYFfg9mw23bRAciw6lBotkVTL3Px+5nK43YisciicQEyJxijiM7TcWiapEG1eZ\ncbZD0NFFe6Od3Z04rj+Oc6ZzSFQmIsjPOp7MAd0B5JTm4P2K93HL6ltQca4Cc0bRWaDzvpjnVHp9\nndbOVrzw/QuoPF8JABjbbyyenfyslUrUGVo6WvDId494XVUzY80MPLH1CW6b2dWcVYt6kvJztGPp\nyC56qPaQQN32XlnPIpA/vuVxzFwzs0f36G36phDpwUiEPxmvvlWH66cbMZCMR6LuQUTKQ+Aj88E1\niddAEahAa2frBdejN7Y3Im8aXX/lsoHCxUbYpMNHJzyKCXG81a7ifgBAhcjAgY4DKPYEQ5vBSoj4\nyHzw0PiHOFuEPT745QNMHz4dPjIfu0ZJ/lwH9v9Nw25CZ3cnOro68Pru13HL6lsAWIf30DXrMCVh\nikvl6usY24yICI7gtv19/fH3y/+OQD/XDXfse/OGV2R0fjR+Ov2T6DGmCbgQ4Vre/vltAI4naOqa\ndBgeNVzwDRypO+LVvF1s9EkhUn623CV3ze+/N8/ZONlkfsE6oxFRsUbUn5OjrMy8LC1ADbjhgeE2\neyLVpmpUnKtwK/98jtQdwbt73rXZyzO1mxAZEomOpR1Wow0WKZcJEwBIbJkBKOhat95coEjboMWh\n2kPYc3aPIH0Gs4s4Qt+qx8LUhegm3dh4ZKNNFQaLx1VxrgJfHvoSABVW4QHhaGxvxDt73sHXh78G\nYO5FxoTFQAYZfj7zM9Shauy/fz8GRwx2q7x9DTZC7FjagY6ltOcUHhAOU7sJWzRbnLoHIQT7avZh\n16ldAIAfTv7gsfwdrTuKkqoS6Jp1OGU0r83MV7exdH86Q4WModWADYc3eEzN9Vv1b6L7CSGob6nH\n+IHjcUJ/Amcbz9q8x44TOxAVEoW6JXXcvtPG027lx9BqwCkDfRbenlDtSfqkEOno7kDluUqnzjWZ\naHyrE7/bbj8IG8YdC1YaMXKcES0NChw8CISFCa8NCwiz2RN5YusTSCtMcyv/fCb+ayIe+O8DuOFT\n8QiNjW2NCA8Ih5+PdZizwRGDMWfUHKQPSMfcUXPx7ORnkToiEtPnGPHAA94dgcxcMxOXv385Nldt\nxqjoUVbHY+Wx2Fezz+F96prr0C+sH2LCYnDL6lvwy/lfRM/bqt2KeEU82rrasHzncgDAwtSFkAfK\nYWg1CGwrO07sAACMUI9AiH8I9lbvRZIqCcog5Z9mrgQTIn4+flzdkclkSFYlY9rH05xyMthzdg9G\nvzcan+z9BACw6rdVHsvf0LeHIvOTTABURcnsLXxV9er9qxGviMfZxrM4UncEn+//HDevvtkjk0YP\n1x7GmJVjRI8dqTsCGWSIU8Rh/pfzEftqrOh5APDRrx9h/MDx8PPxw2czP4MMMrcdOOZ9MQ8/nKKC\n+t0977p1jwtBnxQi1w2+zmkDIYvGu2AB8Nhj5v3yX57EiBQj1AONQDsdgvBHIgDtudkaiTB7ya/n\nbYTOdZK6FtqDOa4/Lnq8sb0R4YHhosfCAsKwetZqJKoSMUI9AksnLUVCjBxXXGPE22/TMCje4oTh\nBAxtBuhb9ZgQO8Hq+Cj1KLR1OVZn6Zp1iA6NxtDIoQBse7eYOkzIGpnFbSerkjFCPQLyQDmMbUYQ\n0EbohP4E927CA8Jx97i7AQAj1SPtvs+LCUIIbv/i9h4JPGObkYsiwOfKeBoN1Bm7IlMvfnP0G6zI\nXOE1m0hjWyPXWeN7YrV0tGBB6gIAdETODM6emCfG0mMq13ON5yBbJsPmqs2oaarBhLgJXF1kdUuM\nls4WzBtN7WxzL5mL28fc7rYQYU4ykwZN6lNBTPukEFEGKWFsM6Kry7w4FIMQIvCqavy9zSgtBVaY\np4DAqJODhJ5HXUsdbs6geh9L9U9YQJjND7m1ky4aUnywuEdlGdd/HAAqGMV0v6Z2EzfJ0BlYo+pt\n+PYOsfyFBYShrbONM4iLQQjB2cazAnWYmN6dEAJ9qx4Dws3rt2+9cysAIMQ/BCcNJ7n3sfv0bk6d\nEOQXxBmSA3wDEBoQipbOlgs+Iaylo8Wura2lswWrflvVo9Axtc21iAyxrc/Ut+rRTbrtelzx3/Gw\nyGGobqr2mBAeFmnWCJjaTdA16RDkF4SThpNcnhrbG3H1oKuhClJB16TD4brDUAWp7Nopurq7RB1i\nLO1zrJFm9e1Q7SEAwLIdy1DdVI2okCibo2JGZ3cnDK0Gge2pJ98fU9EnRyTjnMk1r8ULSZ8UIqxx\nf/RR8/rkjG+OfgPly0rOXmGy1ZmrG4pK/3dQ01SD9JFR8PMDBgwQnhIeGC5aYTu7O7Hp2CYAQLBf\ncI/K0t7VjsUTF6O1sxWhL4aiVFMqOM7UWc6iCFR43YvmtPE0mjqauG0xDymZTOZw5vqGI9TbLNAv\nENcPvh6AeA/5b9/+De9XvM9NaLxjzB2IV8Rz6dy8+mbu2Nx1c3Gk7ggSlAm4ZdgtSItJw/Co4QCo\nDSXEPwRN7U1WafQmIS+GIPD5QGw8slH0OMtfTzoDtc21iAqJstp/bfK13L3HrhyLu7+62+Y9+B2o\nlP4p8JX5IvqVaE5g9wR+nWlsb8TOkzsxMHwgmjua8eEvH3LpK4OUuH7I9dA162BqN+HSgZfaNbQ/\ns+MZROZFYvvx7cL0XgjC9ye+57aZCy+z8zChrgpSYceJHQgPCMc/JvzDbhnqmuugClbB18eX26cI\ncv/7Y1qNEVEjsOHwBgdnXzz0aSHC4kTt46neWe+NGagaG4FJk4DPPrO4yaHpUPhHQqvXQh2uQEeH\ntU3ElvrD2GaEMkiJxRMXw1fma3XcEV8c/IKraI3tjRgYPpBTZ1ka5UztJpvqLDGiQqK8HltM16TD\n2H5jcXcKbYDYLHJLHPXK8n7I4+6Rc2UOnpvynGje2QevCFSAPE3w0a0fccduGnoTAODMo8KgnNq/\na3Hb6Nswb8w8HHzgILffnp2LQQjBx79+7PVYW18dFg/nwRrJnggRFnTRkttG34abht4EY5sR+2r2\ncfYjMdhzig6NxkD5QBx/+DgigiPcUrWcMZ5BUXkRN8owthkxSDGIS6elswVTk6biiaue4AztrAOl\nDlGj2lSNhpYGxCvi7XYC2HfPfgHzfBP++jvs3TIbBHvmsfJYNLU3YXLCZDx19VPYf/9+jIgSNy7q\nmnVWTiVRwe5/fwPlAwFQdZa/rz82Hdvk8jyqC0GfFSL8huDWW83HWE+Wa6QbqXDgx7V6dtx/AACq\noAgc1x+3clHlpyOmzmJGS+YZ5Coz18zk4gE1tjViQPgAVNVXAbAO+tjQ2gBlkNLpe/fG/BZWfkdq\nIXtCpLWzFT+c+kHQIEWHRot+gKzRuHTgpVbH5o+djw9u+QAAsHwqNbg/cdUTVucxmIeSPVo6WzD/\ny/mCiW/ewJbXjydm2BvbrefvMOSBcq6OjFJbO0UwGtsaoQxS4v2b3uf2qUPUbs3T2nhkIxZuXMhN\n3qtvqcewqGEI9Q/l3LblgXJ6/9/rQGN7I8ICwqAKUuFYwzEoghSQB8rtjkR0zTokq5IF9YiVla/m\nNrWbMEo9Cj+focs96Fv18JH50M4pTzjIA+U2JxzqmnRWHpM9+f46uzvx6IRHcUn0JQjwDcD1q653\ne+mD3qRvChF/2rgzVdVpXud9y25aee766i4YjcDNN9O1NQYMACDrBrp98LerbwcAKILkOGU4ZfNj\nCw8MF/2QWS/Pns2EMX31dJRUlXDbrFd011d3QbZMhobWBsQp4rheEj+9jq4O7kN2FkWQd0N+axo0\nmPyfyVAEKRwKEZlMZtOLjjVEI9UjuX0xYTF4v+J9q2eu1dPGXGxCZaw8Fnel3AUAuHPsnQCA3Cty\nrc5j2HqnfDwxErAF3xbi7+OPp7c/zamUZq2ZhbnFc5FSkAJA2Og1dzRDna/Ggg0LIFsmw7C3h9kc\nKTV3NOPF71/koi9YEuQXhMKKQgAQRF+2pLG9EXel3IWbht3E7bMl6B3BnqnqZRVCXgiBoc2AUepR\nGKEegc9++4z7ptQhahyuPQzZMhnqW+oRHhiO8MBw/O/E/+Dn44fzpvN4rMTsIfPG7jcEa9fUNtdi\npHqkII/MQM5/n43tjZgxYgZ+OvMTGloa8Nm+zzAgfAAO6A5g45GNnP1NEaiwGbli16ldCPEXrh2t\nCFK4XW9M7SY8PelpBPsHcxqON356w+udmZ7SN4XI7413YyNwzz10CVpG2QFz5Tn7e0fvuEGL4cOB\n/UebEBoYApXSBw0NQESoHLpmnU0hEhkcyXlP8eFGIjZsJny+OvwV1hxYw22L3Y8/iZBfAQ1tBiiC\nFPCROf+a5IFy/Fbzm9eMx2wiVah/qMM0Lo+93Ka3la5Zhzh5HJ6/xhz76y9D/oLo0GhOJalv1aOh\npQHRodEoX1juMG8x4TE4949zdtV/kcGRqGu2fgd8PGGTsEVjWyNUQSr8Z/p/cMJwAh9UfoAPf/kQ\nbZ1tWHdwHT7f/zkAGt6FX1eq6qtQ21yL9yvoqOBI3RGbhne23o6pQ7yDM2PEDByuPUzPaTehpaPF\naoJcU3sTNA0aK3scixztKnwbWksnnYH+/DXPo/SOUhjaDDhafxTyQDmiQ6O50QEABPoGIjwgHIdr\nD+PqQVfjoO6g4L5Lty3F41se57b1rXoMjRwqyKPlyK7aVI2aphqkxqQiXhGPLdotKDtbhjvG3IHK\n85UYHT0a6QPSAdC2pqO7Q3TibGN7I1JjUgX73DWsd5NuNLU3cQvPTUqYxB3bdnybrctEqTxX2auB\nIC86IaLVOpa6fCFy2WU0DDsjQKUDfr0DAKBraAX8m9G2KAlnGk9DrjZAEUQFhlJpjvEkpjsGqH1B\nrNHXt+qhCFI4VI0w+wb//mIfIBMSIf4hggooFlLEEfJAOUztJsHox5OwBrizuxN3jLkDD1/+sM1z\n4+Xxos8PoM9hWNQwBPiag3v5+vhiWOQwLo2Za2bi+lXXw9hmFHjz2IMfTVgMdajaYU+adQy8IUT0\nrXoog5S4Iu4K/HL+F85I/cZPbwjOu3XErQIBzCZS8rEVY4mpCJkR3ZJEZSIaWhsAUKFWWF6IYW8P\nE3hqPfjtg3hnzztW9S8yONItdY2YCirEP4T7jtbsX4MkVRLUoWqB+ohN+u0iXUhQJnCqStaB4dcf\ngL4zS3UWe4/Gdvo74p0RKNWUIjwgHEMihiBrbRYaWhswJGIIADo6ZnY+mUxm085obDMiJixGsM9d\nIdLU3kRHIL8b6ROUCdwxFvvNGbq6u5BamIpL3u29QJseFyLZ2dnIz89Hfn4+cnNtqxUYeXl58PHx\n4f7y8vIcXsOEiMlE1VQ1NcBDDwExMYChQwfsegw+rZGoMTRi4N106PvL+V+wr2afwB2V9VjZzG9L\nFIHiQ1NdE9WZhgWE2VUdsZnBn+37DDVNNThSd4RTIzDG9DNPeBoQPgBbtObZxO4IEVa+rce3unSd\ns2yqol5poQGhuHbwtXjt2tdsnmtvpCZmlGTXLCldgi2aLdiq3YqfzvwEGWTcglw9xRmdPjv+W434\njGZ7NLU3CSIrW7K3ei/kgXIkR9Cwz6xxstR9T0ukEwI1DRoUlhdyc26YN6AqSGXTNlCiKcH1g6/H\nxLiJosf5asFtx7dx5XxmxzMAgPf2vMfN+rd8R92kGw9/97DT4YBaO1vx2o+voamjCa9d+xpWZK6w\neW5GUoYgvaeupmH+WZ1Wh6gxa+QszgNx45GNXCeFCWNjmxHJEcn4+vDXuPPLO7FNu437hpn3ExOg\n4YHhAg82psKy9GpTh6hRUlWC+7+5n5tF/+6ed3HaeFo0+GhVfRVSC1JdCn/CXx0UACKCzG7Da/av\n4UaOjmCjuDON3l39lY9HhUhWVhYiIiKwePFiLF68GHq9HosWLbJ7TVlZGSoqKri/995zHMCMPxKJ\niaFqq7feAs6fBxCqQ2CnGoGycJxtqMOZAfR+J/QncFx/nJvUBtiuNAxbvQpdsw7qULVDI9remr24\nNvlatHS0oOxsGR757hG8+dObmBg3EZ/O+BSrZ67GmllU1bV1/lZsuG0DjuuPc3YTd4RIRHAEMpMz\nOb93T7O3ei/uS70PyyYvc3iuvZGavlUv8K9nhPqH4uczP+Mfm83ulbaEvDuoQ9SoabbvXcR6wu54\nIR2rP4al25badIM9YTghGnqFX4+uG3wdV/eKKoqQvTGbUwf1D+uPH+75AY9OeNRmj/dI3RErNQsf\ny+f+r8p/AQCe3fEsCCG4/7/3Y2/1XoyIGoEbhgojKWgaaMDSE3rnwvdXnKvAo5sfRXNHM0L9Qzld\nf9mCMu4c1tEI9AvkvsV5o+ch5wq6wihrXCcnTAZgVqn9dd1fuXtU1Vehs7sTrZ2tnNfXR79+hNX7\nV8PYZkS8It6qYQ0PCEfulbmchx9rDywnz6pD1fh478coqijCuoPrAAAP/PcBbDiywer7TFYlY0Xm\nClSer8TDm2yP0i2xnFR897i7sWbWGqyfsx6x8lgr139bsKkNrEy9gceEiEajwbp165Cdnc3ty87O\nRmFhIYxG8crORh2EEKSkpCAlJcWptMICwqAzmHD2rHBtEKS+D4RV48H7ouDTESaYBV7bXMu5pjLi\n5XSugeWQmGFXiISoHapGXv3xVcwbPQ83DL0BuiYdt7JegjIBt42+DXMumYNhUVRNMyVxCoZHDReo\n0NwRIgDw5FVPOtT7OwNbPZCv5jC2GfH4lY8Lhtu2sDdSM7RaB24EzO7Cv1abIwGIjVjchYDgpZ0v\n2Z0EyQSfOwZk7lobox1ds7AO8kcLrOG/aehNXN1jHQo26khQJmBi3EREh0bjuP44ZMtkVvp6U7vJ\nKlgnH1su2fz8A8Dfx//dqoN1eezlXDns0U26IVsm4wSxodWAEP8QbvZ32gBhyCCmhmQBIv8x4R/c\nCIT9sud2rP4Yhr8znBM+/cP6Q9es42bp8yel1jbXwtBmwGUDL+O+ZSaUIkMikdI/Be/eQEOM9Avr\nBwAYHztekDd1iBqaBg3kgXK8+uOrgg6CZR329fHFvan3AqBBL53FMsJAvCIeWaOyMH34dMwZNcfp\numhsM2Jo5FCX7Kg9xWMplZZSSZmQkMDtS0xMFByzpKysDKWlpUhLS0NERATWrVvnVFqfvPkJDq3f\ni4QhOXjl68VA3C5g0A4MvIbqjS8Z4Y/OThm+O/M5orrGYPnU5ThpPIlNVZtcapDkgXJuBT0+NU01\nVIj8Xrm6STd2HN9hZWgO8Q/BzcNuhiJQga8Of8V5YNmbPMjULfpWPTYd22RzlGQPdYgaB3QHUHyg\nuNJC25UAACAASURBVEcTw9iMXb4+nqnynMGeOuv7k9+LChG+wGKLXYl5ZbkLM+rastUAtCFNVCZi\n58mddmeNnzaetlJZsPIerTfXmxP6E2hooSoUXZNOMLLie/ew5xoeEM55+bD0mbGfNbLyQDnXK7Z0\nQRWLrOwsheVmdauYCnHp1Utx/eDruYmitmBze/bX7AdAOyShAaE21WD859C5tBPjYsZx2+y7EotA\nXJldiSviroCuScc92/DAcLQ/1Y5N8zZhf81+7Dy5E8OjhuNs41l0dneirasNpsdNXL2Klceic2kn\n98ws67c6VI0ThhNcZ5MfddjW9/ns5Gftuk9b8u3Rb6EKVokeU4eocbD2oFOx6AxtBsSExaC5oxnb\nt2/HM888w/15C48JkaqqKqt9SiV1TdVoNKLXrFmzBvX19SgvL0d6ejqysrKwZYvjCKMvv/AyWq9u\ngt+N9Vhx7hXg3iuAuyfD34/2sCZOBNqUv2G//4dQ+qsRHhCOf1f+G7tO7UKs3Dx0uXXErXj8ysdt\npELDD5wynrISDvUt9YgMieQC3O2v2Y/J/5nMRZoFaGPY2tmKEH/qzrj+0HpOINkLY8JGN2v3r8Wm\nY5tw6/BbbZ5r7x4NrQ3IWpuFnSd3unw9g6nEpn8+HQDtDXd2dzodhsWWOutc4zl8V/WdqDBlPdVx\n/ceh8CbaoHlSnXXvONpLtGcXMbWbkBqTitPG0xj0+iCb581fPx9X/vtKwT428uJ7ESW8kYC56+YC\n+L3uBNNwJCtvWIllk5dhYdpCAOZyhgeGQxmkRENrA6oa6HdV11KHSYMm4bkpzwGAQF1lOVp2ZgS7\nfs56rJtt7rRNSZiCQYpBAvdZS/dVgI5ibhl2i8CtVowp/6Gh94810EjOx/XHEeIfgrmXzMXSq5da\nnc+8kgAIZoADNJDm/Zfez23/c9I/AdBR0dDIoVCHqlHTVCN4tv6+/lAFq3C47jA0DRrcOORGhAWE\nYc+ZPSCEWJXN18cXgb6BuCvlLqtn1y+UjlDYe/rPr//hjiWpkkTLHx4YLvBIc8TynctxwxDxIKzq\nUDXW7F+D0e+NdngfY5sRMeExaOpowuTJky8OIaLX62EwGGz+eYJx48Zh8+bNmDZtGgoKChyez62c\np3hfsL/Vpw7PTn4Wiby1kOIj1Qj2N4cm4fdwBoQPwItTX7SZTkRwBFRBKiu7B/Npl8lkuDz2cu5D\n5zdMbV1t8JX5wt/XnxsNsB6jvWGuOoR+EDVNNZg9ajamD59u81x7+WY4q9f/8dSPeG7Hc4J9fO+g\nts42rqdnTx3Cx1YofaaaEbsPG4lUZFdgauJUANSI7CmSVEmYNGiSXfWAqd1kFZm4vasdc4rnCFRH\n245vs7oPE5qWrs3sPRjbjNzcjOz0bEyMm4j3bqB2O/4Et6iQKOiadJyAOG86jyVXLOFcT/m2PTEh\n4ihUzvTh0zFjxAxsnU8dMF7JfAUPXvag4BwxIQIAC9IWwFfma1clyGDLAVQ3VSPUPxTxing8O+VZ\nwTmh/qGikaAZYQFheOcv73DbyyYvA3ma4Md7f0SIfwg3QZH/bAFzO7EwbSHGx47nvtXwwHDRuieT\nyfDBLR9YHbt0AJ3kOjJqJNbNXseNDi+JvsSmw0eIf4jT66AQQtDZ3YkHLn1A9Lgr2hNjmxH9w/r3\n6hos1vHFeaxbtw4lJfZdRZVKJV566SUkiywyrtdTX+XUVNtGPj5ZWVlYu3atU+eKYfA7jIjg2+DH\nK1VUuBI3Dr0RAJ3dbLkeuCPUoWocqj2E9AHpXLwffk9PHijnjI38dRHYRCnAOvibvaB3LLjkKeMp\np91aLeHrQ/nhH+yx4scVWHdwHR6Z8Ag30uAHgTttPI36lnqXGnRbIUZYoyc2z4Qf+Zd9zO4spGQP\nVbDK7tLHpnaTlavw2cazWLN/DZZNXsbF4gLoxD1CCJdXzj34d3dS9q4bWhpACEF1U7XoIl4AMDp6\nNLbduQ0T4ybS4H5tBrR3tSMsIAz7avaJOiIAwo4CIQSnjaedVoOy0U9kcKTVcgNiyw+w/EYER6Cu\npc6hSzXfwcOWumbv/+3tUUdBFaTCSeNJqxEY/xtl5x2pO+Kyqo+pvcIDwxHsF8y57m+at8nmNaH+\noahvqUd7V7tNmytAXeVrmmogk8ls1nNn89vR1YFzpnNIi0nr1fhwdoXIzJkzMXOmc0s1Tps2DQCd\n58FsIUyNlZ6e7tQ9GhoakJbm+hod/m390BFYjRafWu6jiKmbi3ORqzE+YQyiQ6OhCFRgYepCp3vR\njMsGXoabPrsJVw+6Gl/NpaFK+JU11D+U8yS688s7MX/sfAB0Nisbok8fPl2gQ7Zn9GLG6ILyAnwx\n2/21lscPHI/QgFAUVRQh58och+cz/Xr48nB0/7MbG45swCd7P8GMETPwxcEvMPitwXgl4xWXPkC2\n1oclTIiMHzje6tj0YdMFy6EOjxrO9QQ9hSNffhY5OcgviBtFslHmiHdGgDxNOOHQ2tmKzVWbce1g\nOieDRRhgPUG29skJwwluLQyxZzgschjG9BvDGZz9fegIlm/TsnRmiJPHobWzFc/ueBbXDb4OAF13\npb2r3ekoB3HyOAT7BaNfWD/BKB0AN29CDOYh5UiI1DbXcs+Rr0rmY0sl5CzsfVoKETY/iy9M3tnz\njlNOIXxYmxIWEIZQ/1CcaTyDwRGDuVhXYoT4h+CLg18g8PlAnHj4BBcw1BL/56hWwl6H0Vn39n9s\n/gcqz1XiyauedEmV1lM8ZhNJSkrCwoULBeqogoICZGdnQy6nL7GiooLzyNJoNCgsFM6ZKC0txeOP\n27ZR8LnLQAXUqhmr0P7ieTx51ZMAzEO/s29+BvI0waNX/R8AQJ+rxxXxV7hcro9v/Ribb9+MUk0p\nfjj5A3af3s15agDW+lvWeHx/8ntkJtNFd+4Zd49gqGorHAVgNkYH+QVxDZM77L5vNwpuLLDq7RNC\n8OEvHwpUEZ3dnfDz8ePK1NjeyHm2LZ64mDuvsb0R1yRe43QeVEEqGNuMVuE5jG1G3DDkBtFYWPem\n3ovS+WZHjIMPHMSskbOcTtMZWjtb8clvn9g8znz2mRtqR1eHQG1FCEFHdwf8fPxwV8pdgqCZpg4T\n+oX24+rBfh01LN+dcjcXWVZMiBz62yGBx5JlZ2fSoElWDfbJR05i4183CozVp4yncPuY253uLCmC\nFGh+shlBfkG4etDVVED+/jdIadsexNSuYnR0dcBX5otXMl4BAHzz129AniZuG/sdIQ+U49+V/8bX\nR74WpMHUcWw5ABYz7J6Ue1y6PxvVhQWEcZN5HakL+Q2/ragNfL756zc2j/HViva0GKeMp1B0UxFS\n+qf0qjrLo35gK1euhF6v5yYbRkRECOZ9lJaWoqioCABVdeXl5SEiIgL5+fkoKipCcXExJ3Ac0WWk\nQ0zW42INlT3/eHdRh6rR3NGMKz+4Eld/cDUAc8whJrQsDbZlZ8sErpyMT279hHMBFCM8IBz1LfXo\n7O7scZj5yOBIbmIVo6mjCXd/dTcO15knL9U110EVpMLG2zZyZWCCTh2ixlvXv0X325ggaAtfH1+o\nglVW7sb1LfU2VRu9wZr9a+z63bORCJsQeFx/XGDvauls4UJU8AMGAlRtNSB8AKdOiAmLQWRwJGLl\nsTC1mxDqH+qw9y6GWLh9AFbpiwUF9AaRIdZ1i8GeH/tGvJ0fpn79+vDXUAaaR2AymQwrb1iJCXF0\n3gcTMK7mJ8A3AG9e96ZgLXVHIz2+o4Azi4vZE7Cx8lg8O5nakewGn/z93Yf6h/aqOsvjzsQrV67k\nJhsuX75ccGzJkiU4epR6KKWmpuLYsWOor6/H4sWLsWDBAqcFCAC0GulLYhWCTTCyF1DOXfiVjq28\nxvScLLTE+ze/j/EDx2P659Px5aEvsevULm5yFABugtm8MfNsDusB+kGcbTwLeaDcZdWbJcywze+9\nsF7RLatvwVs/vYWbP7uZW3viqkFXYVjkMAx+azAXpjwqJIpbUfDdPe+67CklFrBv56mdLq2R4mmu\nir8KgO2Pm6/OGtNvDEa9O0rgkRP6Yihu/OxGgVGXoWvWIVGViHUH12FJyRKs+HEFHrn8Ea43+fw1\nz9u0NYjBVJ+WqiYGizXG1Ibfn/we8gDv9Pj5iKkE7/nqHvy78t9c9F3mKeWO0HQ1LwzL7z87PZtr\n8Fl++PNInOXB8Q9yYVoA85wSW/BHD8406PaEiJ+PH5ZOWor+Yf2t3Lm7STcCngtAN+nmJkEH+Aag\no7sDq/Z6bjlje1x0sbOcxWQCVo2tQVoMVQEsTFuI2sWOh43uwK8Q80bPw9lHzSG8bxh6A4y59GPa\n+NeNOGk4yfna8xvch8Y/hMbHHUfXDQ8Ix65Tu3o8CgFo5Qv0CxT0XoxtRgwMH4j+Yf3xwvcvYMOR\nDQKvFjaS2358OxamLYQiSCEYmrvaixMLM2JqN3ErOl4ISueXIiokigtUaAlrBAFwH+Sv1b/i9Wtf\n587ZdWoXCAiiQ6MFap39Nfu5Rip/Vz4AoLmzmeuZzr1krkt5lUEG0+MmPD9FPJRKaEAoYsJisP7Q\negDUFZhNCPQmYkLkg18+wJs/vcmtgXPzsJtx4uETbs11coWJcRO5yA+2Qr0AVKAc+dsRu+c4Isgv\nCCcfPomCG+17kbJvZmy/sU6plpxxHokMjrRSjTW0NKCjuwP6Vj03h4t1Pt8t65112vusEDEYgLhI\n8wPz9fG1uxxoT5k5gjoYDIschphwYdA15oUVFRIl0IfzPx4fmY9T8yvCAsJwpvGMx2LfWH7sjW2N\niFfEI14Rz+3nL8HLBGZLZwtiw2MF+wDXZ4+Lzeo3tZsc9uS8SYBvAIZEDLGpqza0Grh3ygzb9S31\nVgbg/mH9BVFtzzaexeG6w/jL4L8IzrtxyI1I6Z+CCbETXBbCvj6+CA0ItbK98VEFq3D3V3fD0GpA\nQ0uD3ZGup7DlnNDW1cZFI/D18bVpUPYkMpmMs69ZBkTkE+AbgCGRQ3o8wo9TxDm078SExWDSoEkY\nFT3KppGbaQicDVESHRpt1SFj39Z503k0tjcK1MSueqK6S58UIr/+CuzaJVxoytsUz6ZrqdvSTTPU\noWrsOLEDhTcWuqS2YLiyiqEz+Mp8BbOnWS8xPCCcm73NFyJ8dQAbSfnIfLD9zu2Cfc6iDlFjz9k9\ngn3uhnPxJPaW7uXbfpj7NrsmyC+IU4/cOPRGqEPUKNWUoq2zDedN5zG231hMiJvAjbQO3H8AE+Im\n4KpBV2HXvbtcDuvvTCM8aRANG77jxA5OpeFt5AFym2uQV56vtOmO7C3Y++qNsjtDeGA4tt+1ncbn\nKs0VdWdv6mhCsF8wvr7NOkKzGJEhkVxgTAYTKiVVJZBBxtWvFZkresU2Bjhw8b1YeeEF+tubQgQA\ntszf4lANwyoz88xylQmxE7Bs8jLOZbOnDI0cKgjd0dhOlxzl92z5QiT3ilxMSZiCc43ncMvwW7hz\nxseOx+qZq7nZu84ySDHIKhquraVbexNb7sed3Z0wthm5RpCvipAHyrF1/lb4+fjhsvcvQ0dXB8b2\nHwsCghOGE4KQJsxjiz8p0FW2zt/q0hyZinMVXKh5b5OgTOBUaJacaTzTY7ddVwkNCMX/7vqfw05e\nbxPkF4RzpnOoa66zEnCuLn2doEwQzN0CzBGJSzQlmJY0jdtvb0VGT9MnRyLBv5sLVL3s4HNN4jUO\nvYr2Vu8FALvukfYIDQjFPyf9024APVcY02+MQGff2Eb1/fwJkHwbgDpUjRuH3ogFaQsEPZkgvyDM\nuWSOy6qAS6IvwarfVnGLKVWbqvHL+V96rZdkC1vqmA2HN6Czu5MTsjNGzODcmuWBckyIm8CpTpo7\nmhHgG4DxA8ejpqlGMIJJ6Z+ClP4pdtVQjkgbkIZLoh2vC8HsWKeNp+Ej87E7uc1TpA1Iw4+nf7Ty\nvDtUewgvfv8iUvo5F0zVk1w16KpeT9MRbAQiFqtt0oeTXIoUPTp6tJU6i9Xhb45+g7H9zd6g7V3t\n+P/2zjy8rerM/9+rJASy2JKCHShbLJmyQ7yEtLS0AUueh7akDLZsCG1nGGJfA+0zw+LI7tP+WKbP\nxJEZ2k4ZiCUeHpa2JLYUCh2mgGUIQ6eljS2FEtbgK8hQAnUsX2Ulm8/vj5N7reVqta4t2e/nefTY\nuss57z0657z3nPOe930s+FjGLvsnQ1EqEZMJeOABwFCA0ucSc11PyhaU4c2/vYln3nkGf937VwQ/\nDWLx/MWqlRkA/H6XftZSinJS4jCMHBzB+aeen3Kj1lSQykPzP1VN7CPwOrzqps/4BWLFz9eSBUvw\nzsg7ePa9Z9W3zRe+80JG0Rjzwdrqtfj19b+GNCZl7NdsslhMFlxUdhE+3vsxXv3w1YSgWdkaEMxU\nlK0H/7vrf/H5sc/xSmgiSmE28UaACW8W0UR/j96PpYyyXw69nJF7mslQgN1wevbu5ZEJC5FfXf8r\n1VKkEChbWIbHtz+O63uvx5k/PRO/+PMvsPikxbjjS3fgoWsewqplq/D0jqd163wUKxVlWubAkQPT\nat6roDg4jCdePkEQUDK/BLfW3hqzjvNg/YOqr6nTFp2G7Z9th/dtL1Z/cTUAvo40le64yxeWIySH\nprRsly5air8d+Buavc24blOsj7epUmaFznHGXfmv/e1aiP8l4uonr1Y7+5Pnnow1l6xJdXsMWi8+\nSiTHuoo63Lz8ZvX4TZfeBAC45lfX4JHB9DGaJkNRKpFIBMhiS8mUcnXF1XBc5JhuMVS0rKkWnbQI\n1adX4/bLb0fHVzrUY3qgdGrKruEDRw8kdew3lcTv71DQkk8QBDz8zYdjpvLu+PId6nrHyjNWYjg8\njNMXnY46S52+giehbGEZPpQ/zLthRso8T5Rh5HAkxiLsthW3TdoCaqYQPW375BtPApgIQHbBqRfg\nzi/dmXFaJfNL8OpHr+Lx7Y+rxyKHI7h5+c3wf8+PC8suVI+fXXq26sBUK7RyPilKJTI6CizRz5p3\nRqG1hqNsugImdt7qpUS+uOSLuH3F7eoiX/hQeMotd7TQmhoAuKlktvKduuBUbP90+7RanEX7cpsq\nSk8uxf9F/g/Hxo/FmGynCz88m+j4SkfC+qZSPtm2BeU3vvnZmzHOxnH0+FHsiuxKurVBmVrVO1Ru\nUSqRkZGpt8wqVrQ6tug3FuW8XkpEEAR8/Zyvq36jRg+O6r75LBOSual/5cNXspbvvCXn4bMDn+GT\nfZ+kv1gnlNHTn/76pzRX5o/BTwbRMdCBkvklMaO3fPs6K2YWnrQwxqJzrmGuupierTl2tGXkU288\nhTMePAO/fvPXSS0AlVHQu3ve1dUNCimRGY6iJLrqeBChHbfuiLFi0VuJAMCKM1aoViqRwxFdXNNk\nSzI39UePH02IsZ2OC8ouwFzD3CmxhEnGVI5AFJQpyoXzFqoeFtg9DE0XNU25LIVMtIL99nnfxsjB\nERw4cgDjbDyr323x/MVg9zB0fLUDH+/9WJ2OvWrZVZrXm0/mo5yzSs7KygosW4pyn0g4TNNZmaIo\niXOXcLfe8W8+ynk9922YTzFD/pzHltl7eO+U+HZKx+KTtEciuW7W+03zb1RrrelgwbwFWFu9NqdI\nmLmy8VsbUdVThXE2nlU88dmGspD+6LWPYnD3IA/lezDWRUk2GOcbY0yGk6WhbHZeumhpxjHac6Eo\nRyKlpcA8qrMZoSgHxaNw9HoIMGE9lYtTukxRvIqOs/GC2K0O8JFIvAPGxt7GnDfrffOL31SDn00H\ngiDAc60H3zj3G+kvzhPLT+N7QfYd2YdLyi8piGnKQkRpc7dU34KyBWVY51+Hip9X5OTRAuBtNpN4\nIYqxg5b/unxSlEqEprIyZ/7c+RhdNwqr2Yp9nfsSNr8ZBANG142qIxU9mGOYg1PmnYJ397yLT/d/\nWhBKRInbEo0SmGsqTXNnAuctOQ/3X3U/PvjBB9MtSkHywyt/qDqHLVtQpnpB+NHXfpRTekroXePJ\nRuz8wc6k1333su8ivC6s6b8unxTldBYpkexQLECSrXtMhbXU4pMW46KHeRztGy++Uff80qFEkIwn\n31EUZzr3r7ofy09bjrmGuQWx1lWIzJszT7Wgip4qzdUljjKy339kP84qOSvpdQbBANMpppQBxPJB\nUb5ykRIpPqIVWCE4yVt00iIcOHoAd7x4h3qs+vRq/Oc3/nMapSo+fvz1H+Pa8zLzQkvE7hvJ1iO2\nwoJ5C/Di8Is4Nn4sI99qZQvK8PzO5JETJ0tRKhHz9G8zILJEsc56bPVjBfG2r0xZ/ez1n6luIaYq\nKiAxe1EUh/MrzpynkBeetFBzj1Myrqq4KqnH5XxQlEqkUHerE8kJySEAwM1VN2flmVZPFGOC0UOj\nYIxNmRt1Yvai1K81l6zJee0tW3Puy5ZelpXSyZaiVCKLp9/1EpEDhTACiUaxjtn+6XaMHhrF58c+\nLwiXLMTMRbHUireSzAaljr73/fcyun7+3Pk4/v+O55xfOopyYZ1GIsXHk9c9OeUxJtLx0DUPYfWm\n1Xj1o1cxf878KYkISMxu5s2Zhzu/fOekInsqZvnZjEj0tDgkJUJMCd+97LvTLUIC1553LXq+1YNt\nn2zD/iP71b00BKEn/17/75O6X3FqWiiekotyOutU2tNE5InS+aUIHwrj0/2fTqkHXILIlbKFZXjz\n1jcLxqRaNyUiy7JeSZPLEyJvLJ6/GFve2YLW/2otiDgnBJEJmUS8nCryPp0VDAaxbt06jI2NYXBw\nMO31oiiisrISADA6Ooqurq609xRqQCqi+IhWHIUyPUAQxUTeRyIWiwWCIGTkWMzhcMBsNqO9vR3t\n7e2QZRltbW1p76M1ESJfRCsOms4iiOzJuxIpLS1FRUUFGEvt0VSSJPh8PoiiqB4TRRFutxt796a2\naSYlQuSLaMWhbIgkCCJzps06y+/3AwCWLVumHquoqFDPXX/99Unv/dnP7oXhhPpbtWoVVq1apZeY\nxAwnejpr7FBizHWCKFa2bt2KrVu36p7PtCmR4eHhhGPGE4sdkiSlvPf+++/VQyRiFqJMZzVc0IAb\nLr5hmqUhiPwR/4J933336ZJPWiUiy3LK9Y3S0sIwMyOIXFB2/7qvdRdE7HeCKDZSKhGfz4f+/v6U\nCRiNxowsquKxWq0JxxSz4Orq6qzTI4hcEAQBr9/yOikQgsiRlEqkoaEBDQ0NOSWczjrLZrMBAEKh\nkLoWokxj1dbW5pQnQeTCyjNXTrcIBFG06LLZMBwOa1pnBQIBuFwuANwUuLW1FT09Per5np4eiKKI\nEjK/IgiCKAoEls4WN0u8Xi9aW1sRiUTQ19eHuro6dd3E5XLB4/Fg586JkI5tbW3q1FY4HMb69etT\nCywIac2HCYIgiFj06jvzrkT0hpQIQRBE9ujVdxalA0aCIAiiMCAlQhAEQeQMKRGCIAgiZ0iJEARB\nEDlDSoQgCILIGVIiBEEQRM6QEiEIgiByhpQIQRAEkTOkRAiCIIicISVCEARB5AwpEYIgCCJnSIkQ\nBEEQOUNKhCAIgsgZUiIEQRBEzpASIQiCIHKGlAhBEASRM6RECIIgiJwhJUIQBEHkDCkRgiAIImdI\niRAEQRA5Q0qEIAiCyBndlIgsyzndFwqF8iwJQRAEoRd5VyLBYBB2ux02my2j610uFwwGg/pxuVz5\nFokgCILQibn5TtBisUAQBAiCkNH1g4ODCAQC6vfly5fnWySCIAhCJ/KuREpLS1FRUYFwOJz2WmXU\nwRhDVVVVvkUhCIIgdGZaF9YHBwfh9/tRU1MDs9kMn883neIQBEEQWZL3kUg29Pb2AuDrKE6nEw6H\nA/39/airq0t537333qv+v2rVKqxatUpHKQmCIIqPrVu3YuvWrbrnIzDGWKoLZFlOub5RWlqacEwU\nRQwNDWFwcDArYerr62E0GlXlooUgCEgjMkEQBBGHXn1nypGIz+dDf39/ygSMRiO6urryIozD4UBf\nX19e0iIIgiD0J6USaWhoQENDQ04JZ2qdFc3Y2Bhqampyyo8gCIKYenRZWA+Hw5rDpkAgoFpkSZIE\nt9sdc97v96Ozs1MPkQiCIAgdyLsS8Xq9GBgYQDAYxJYtWxCJRNRzfr8fHo8HAF9rcblcMJvN6O7u\nhsfjgdfrRUlJSb5FIgiCIHQi7cJ6oUEL6wRBENmjV99JDhgJgiCInCElQhAEQeQMKRGCIAgiZ0iJ\nEARBEDlDSoQgCILIGVIiBEEQRM6QEiEIgiByhpQIQRAEkTOkRAiCIIicISVCEARB5AwpEYIgCCJn\nSIkQBEEQOUNKhCAIgsiZma9ExsaA5mbg+usBq5X/fe216ZaKIAhiRjDzlcg77wB/+Qvwne8AkgQ8\n9xzg90+3VARBEDOCma9ERkaAc8/lIxAAKCvjxwiCIIhJkzLG+oxg+3auOBROPRV4/XXg5z8HKiqA\n1aunT7ZC5fnngQ8+AL78ZeDyy6dbGoJIjywDTz0FHDsGGAzAaafxuvvcc8C8ecDatcBJJ+mT9/Aw\nMDQENDXpk36BM/MjG65dyyvUT34CPP00cPHFwGOPAfv3887yk0/0E7ZYWbaMK1iTCdiyZbqlIYj0\n/OY3wF138Snrqipgxw7gRz8C/vu/gVAIeOEFflwPnE7A5QLGxwFB0CePPECRDXNlZASoreX/33gj\ncMklwE9/Cjz0ELBnD1BcOnRqGBkB7r67OKb9mpuBl1/mv/GxY9MtDTFdjIwAV13F/7fbgZNP5qPp\nNWuASy/Vty5HIvzv/v365VHAzNzpLEkC9u4Fdu2Knc5SmD+fvzmMjQFmMzA6CixZMrk8P/qIp6dg\nsQAlJZNLMxlHjwJvv52oBA0G4KKLgDlzMk/r2DHgrbd4WocPA8eP85HIX//KDRMuuCC/sufKvn18\n6iCa3l7g0CE+nfDqq7G/4Re+AJSXT3yPfs5oFi7k62ZEanbvBj77LPbYaafxj975nX46sHQpN9Ai\n2gAAHKFJREFU///AAV5P588Hdu7kx958M7adl5UBwSBwzTX8/6Gh2LpQUsLbZ7bs2QN8/HHsMaVO\nvvUW8KUvZZceY/y+Y8f4KObCC/n0WyqStX2AW6AuXpydDJNkZiqR48f5j3H++fwHqazUvm7pUuBP\nfwKqq3lDmOyopLoaOOMM3pGPjvLF/J//fHJpJuOZZ4C2NuDss2OPf/gh8MtfAt/6VuZpPfcccMst\nwDnn8O/XXsvTXboUWL6cN9T4fKaDf/1X4Fe/SnwpkCT+9667Jo7t389/9xdemDj2zDOAKCY+y9tv\nc+W/cKE+cs8UrruOrz2ccgr/fugQfwH74x/1ye/aa/nvOD7O2+f//A8/fsstfK1zzRrgkUcmlMt9\n9wH/+I/AN7/JFc0f/sBnHvbu5ddt3jyR9rvvAgcP8raaDTffzOtLdEdtMPAp4O9/HxgczC69bduA\nq6/mdXXXLuDhh4Ebbkh9T28v8IMfJNbjPXv4vQ88kJ0Mk2RmKpFwGFi0iFe0VKxaxTv70VH+/eBB\nYMGC3PI8fJhX1pERXqk2bdJ3PWH3bm62/B//EXv8llv4uWzTuvFGXoGj+eMfgRUr+PlCUCK7dwP/\n9m/AP/xD+mu3b0+8bvdu4KabgF/8Ivb4smXA3/7GR19Ecnbv5h35smX8uyTxDlDP/F5/nbfL6Jei\nbdt43rt3Az/+MXDbbRPnvv1t/vdrX5s4dvHF/OUhGrOZ9xOnnpq9TJs28XYRzY4dfGo1W3bv5tNw\nv/0t8M//nFnb3b2bK8sHH4w9/tRTsS9NU8TMXBMZGdGewopHMfdV5ksnM2+6Zw+vkMqbjd6mxMme\nMZd8U5VXIZlEZ/q7Atpy57PMZhuMJZafnuXGGG9TZWXJ88mmPsSTq+z5rkPR6WWaRqHVY5ZHhoeH\nmc1mY4IgMJPJxFwuV9p7WltbmcvlYi6XizmdzrTXpxX5iScYW7iQsb/7u/QCP/ggYyedxNgppzAG\n8PtKShI/zz+fPI2vfY1fs3AhYytXThx//33G5syZSOOhh9LLo/Daa4yVlmrLUlbG2BtvcHmfeCLx\n3ocf5ufWrdO+v6SEy6xw3XWMzZvH2KOPasvS1sbYySdP3HvPPZk/B2OMbd6cXI6zz2Zs9erk5++6\ni6fx5z8zZjTy8vzLXzLL9/BhxhYs4Ok8/jhjPh//rR9/PPHahgbGzGbGRkcnjq1Zk1yu225LTGP9\n+uTXX3lldmWWjvFxxiork+f3xBOMHTvG2DnnJL/m6aczz+9f/oWxxYsZW7IkUQ6TiZ+7887Yc5de\nmjzvhx/Wzuf735+4ZvFixsrL+fHjx2Pv5yqG14fXX8/8OaKx2yfqh5JmMnnb2vg9Sts6cCAxvaNH\ntfuP886LvW5sjLGlSyfOz5/P2L338nNPPsnbonLOZGJsx47EvE45Rbu9vvUWly8SmTjmcKjp5bm7\nV8lrqna7nQWDQRYMBpkoikwQBOZ2u5Ne39jYyDo6OtTvoigyURRT5pG2INat4x3dkSPpBR4fZ0yW\n+efAgYn/oz+33srYAw8kT2PRIsZ27eLXHj4ce27fPn78gQcmKmImPPooYzfdpC3PZZdxhXTxxVx+\nrWeyWBi75BLGenoS7//oI95AFZYtY2z7du20GOOdkXLvE08wdv31mT8HY/y3aG/XfpayMt7wAoHE\ncz4fb+iMMfbLX/KOft++7PI+eJA30PZ2xn7yE97RaT3nkSOMXXABV84KF17I2B/+kCjX888z9tWv\nJqaxZo12ee/aFVve+UCWeblplek99/A28NlnvBPSuqajg7Ef/zjz/K6+mrFnnmHs0KHEc4cO8d/K\nZps4duQIY3PnMhYOJ+bd1cXY7bdr53PllYz99rcT10bnd/DgxPG9exnbv5//zZUjRybS27qVd76v\nvZYo7+9+x9gVV/B7bruNsQ0bkqcZLaMsc4Uxf36s0nnzTa5Yoq87fpyfi+6PZJm/CD/7bGwe4+Nc\neWopMsYYq6hg7O23J76fey5j27YxJsu6KZG8rYn4fD64XC4sX74cALBx40YMDg7C7/ejpaUl4XpJ\nkuDz+SApi6IARFFETU0NXC4XSnK1ahoZAb7ylfQWDgC3higtTX3NmWcmHyJ+/jlw5Ai/Rss+fNEi\n/vess7JbfBwZ4Qv0WrKddhpf2DvnHO08BYGvX7z2Gr8mPo2SEi63Yt0yMsKtVJLZt8+ZM5HG2Wfn\nNlV2/vnaz1Jezi1TLJbE88uWxU4znnHGRHlmyimn8N/m97/nv1OyMps3j5dr9LONjPA1klRyRTMy\nkll554OREV52WmV65pl8QXlkhC84J7tmx47s8lu2jJvNxnPyyYllsmcPX3MwmRKvP/tsIBBIno9W\nmQP8t1QW9PPBvHkT+ShrYVr1sKIith5eeWXyNLVkVKaYFKOVVL9LfH90+umJdW3/fl6Pkq3dnnEG\nv0exqFTad7p+bhLkTYk0NDQkHDOZTFgRvwB1Av8J/1XLlEU6ABUnfky/34/rFTclWqTaZb5tG/D3\nf59e4EwpLwfcbt5xx3P4MK8k6TYYlZdz89NMd8e/8w63vEqWls8HfOMbqfM7fjzWpFFBELjMq1fz\nHbzHj2feOZeX8wXrbHb5BwKxi5zRKBYuWi8M5eXAe+/xvN57D/je9zLPMz6dF17gncb69amv6+jg\nDRfg1lpaJt/l5dwCLr4Mtm1LXt7l5fz6fCmRSEQ7L0W+3/0OeP/91Nc89xw34c6EDz5InpaS3vvv\nT5TJ/v2p837lFe06FAqlzkcvlPUFrUX28nJuur96NV/kT9Yuk1Fezg08lDr+6acTCiWTex98EHj2\n2Yljn3+e/re4++4Js+sDBwCjMTuZs0TXHetmsxmBQCBGUSg4nU50d3djfHw85rjBYIDL5cLdd9+t\nmaYgCLgnygRu1cUXY9Ull0QnANhs2m9NubBvH6/0yfjCFyY2Mybj6FHgpZd4h50pV16p/Sb30UfA\nG28Al12WvDJKEu946+u194sMDk7s1D/1VOCKKzKTiTHgxRf5W32mCAJQV6f95vTuu9xCRit/xrij\nzEOH+Pcrrsjekgbgjc7v5+ldfXVyM95QiO81UDCZkr91vvxy4sayefOSl/fQUOYddqZYrXw/UDzK\n846P870vWnt8Dh4EBgYyN2lfsIC3qWTE/1YAH51cemnitUeOAP392m1h4UJeV6aDVPuhXnmF9wNz\n5vCNjNm4T9mxY8IEXeHiizPbo/Lpp8Cf/5x4/Mwz+XYCLYaH+egewNY338RWSeIzIQDuu+8+XXas\np1UisixDSPGmXZpkmOR0OrFy5cqkI4rJKBEd9R5BEMSMRK++M+V0ls/nQ39/f8oEjEYjurq6Yo75\n/X6ce+65KaekrFZrwjFZlgEA1cm0LEEQBFFQ5H06KxgMQpIkzTWSaCRJQmVlJYaHh9W1kEAggNra\nWsiynHRhnUYiBEEQ2VMUDhgDgQA2bdqE6upqSJIESZLg9XoxMDCgnne5XAAAi8WC1tZW9PT0qPf3\n9PRAFMXcLbMIgiCIKSVvIxFlFBGPyWTC6Am3Ii6XCx6PBzsVp2kA2tra1KmtcDiM9aksaJBcm5rN\nZoxFOz8kCIKYZZhMJoTDYc1zeo1EZkw8EZrmIghitpOqHyyK6SyCIAhidkFKhCAIgsgZUiIEQRBE\nzpASIRKIKOE+dcLhcCQcCwaDEEVRteSbDvx+P0wmE8xms+Z5h8MBg8GAB3QO+hMtx8svv6we93q9\nU5L/dKB3nSN0RBe3jjqSTGQ9H6Wvr4+Joqi6q8/EZX06+vv7mdFoZCaTSfN8Y2MjEwSBdXd3Z52u\nw+HISabh4WFmsVgycuGfK8PDw0wQBOb1ehPOWa1W5vP5dMs7ExTv0/HyjY2NMYvFwgwGw5TI4XA4\nWFNTU8Jxu+LZeIpQ6qnVamVOp5OJosgcDgeTJCkv6etZ5/RqY4VMqn5Qrz6SRiJpcDqdcLvd2Lhx\nI9rb29Xd+VrmzNlgs9nQ3NwMWZbh8/lizsmyjEAgAEEQkrp/iSbaE7LFYoHX681JJovFgpqampRu\nbiaLz+fDhg0bNE25LbnEvNaB1tbWBPncbjfa2tqmzAKQ8TANCcenuoxsNhtWrFiBmpoadHV1YePG\njTCbzbDb7XlJX886l882VihI8X64CgBSIimQJAnd3d3o6OiIOd7V1QVJkuDxeCadx2Q7LEmSUF9f\nr35PNhWTKXp3koIgoL29HYFAAMFgMOl1brcbBoMB27dvRyAQiJnG8fv9aGpqAsCV/MDAAJqamtT0\nlHuVqaBAIKCWkdPphMfjQWVlZdK8nU5ngnySJGl24G63Gx6PB93d3WhqakIkEoHf74fBYMCWE+GR\n/X5/zG/k8Xjg8XhQX1+fcvouVcfq9XphtVrh8XhQW1uLysrKlOU5GeLrhLKZWK/0800hvBTkg/i2\nXiiQEkmB4q7+ao040haLBf39/fB4PDCcCIkbCARgNpvh8/ng9XpRWVkJn88Hs9mM7UnivWfTYWl1\nPoFAAJIk4dFHH42ZV/b5fLDb7aisrFSPa3V4AO+Quru70d3drVtHpOSjxJaJ91YQT2trKywWC8Lh\nMKqrq9Ha2qo2+EgkApfLBUmSsH37dtTV1aGpqUntKFpbW1FdXY3h4WEAQCgUgsvlwsDAACKRCFpa\nWuB2u5PmXVFRgerqajU9r9eLpqamhA4nEAioz9Te3g6LxYKWlhbYbDY0Njaq+UciETU/v9+P4eFh\ntLS0oLW1VXN9KBNsNhtCoRBWrFiBwcFBNDY2asbtyRfRz+52uxPk1lLmfr8fVqtVsy4mq3PJlLKS\njiiKqsLs7u5GbW1twktePHq+FCjXR7fJbOTVatPJyi1ZW592dJkk05FkImf6KEpkzWSfaNatW8cE\nQdBMp7GxkdXW1jJZlmOusdvt6ry+IAhsYGCAhUIhzTSUKI41NTXqOkZfXx8bGBhgfX19Men29/er\nazF9fX3qPO/Y2FjMdcp3JU+73c7cbjcbGhqKmU93Op3M4XCwQCAQs4Zit9szmiPGvUj7icfhcKhr\nSsragyzLmmXHGGMul0uVrbGxkVmtVvV4NH6/nzmdzpjn83q96vXRa1hWq5U5HI6YfKNRfhOv18sE\nQWCSJKnH4n+TdevWsbaoiJVDQ0Pq+UAgoClva2srE0WRud1u5nK5WH19PYtEhzONKiutta3oyJ/R\nsihrTWlJ1wA02pHNZlPrqNFoTFi3Gh4eZvX19YwxXkbRcittgDFez5W6qFXnktVRxhgzmUxqOqIo\nqtfFt794smljqfJ3OBzq7+j1elkoFEraJjOVN9X98eXm8XjSPitjtCYyJaRrQdFoeRpWSPYmE09t\nba1mPJVoOjs74fV6EQqF4Pf7NUc+fX19kGUZHo9HfQPdu3dv0jSVPC0WC2RZRm9vb8zzNDc3w+v1\nYvPmzTGBw4wZBrBh97C0n2gCgQBuuOEGdHV1qXPrFosl5YigpaVF9b3W1tYGo9EIj8ejPocsy2hq\nasKKFSsS1qgaGhoQDocxMDCAJVHBpYaGhmA2m1FRUYFQKJQ074aGBhiNRoiimHT9SxAE1aUPwMtO\nKb+qqioAfEQYXU/GxsZgtVrV0cuLL76o6SvOYrFkNWVkNpsz++0yUSMaWK1WbNiwAZFIJOaZFVlf\nfPFFDAwMYHBwUPXGraCUX3RdvPzyy9XzRqMRjLGEOtrU1BSzvqdM1VosFvVZlVAUqdoCkFkb27x5\nc9L8Ozs71ZGzJElYtmxZ2jaZSt5IJJL2/vhyYwU69TbrlEg22E4E4tGa4gkGg7Db7Xn5YTPpsDLt\nfFIR3fhLS0thNBohy3JCp6AH69evTwgNED+lxeIWk41GIxobG+FyuVBXVwdRFOF0OtV03G636vE5\nHA4n+Azq7OyEw+FQp16UxdWNGzeiqalJcz0iOo3Ozk74/X6sXbtW85kURawQCATQ3Nysfnc6nWhp\naYnxaG2329HT06NOR/h8Pk1l1tzcjEAgEHMuEAgkrOUo6fj9/pi884myNlNRUaE6SY1uE6mUuRay\nLGPPnj2a5+KVskkrMFsO5POlQFE0k22T+WjThQApkRRYLBasW7cuYa7Z5XKhpqYGa9euVSuZ0pgl\nSYrpiFIpmWw6rGSdT7q3TyX/ZB1eTU1Nwmgg3288Xq8XW7ZsidnzAPCyCoVCuPXWWxEMBjE0NITe\n3t6Y+V5RFCGKIgD+ZvjDH/5QPedwOCBJEpqbm7FkyRJIkqTOWwMT6yrRI8G6ujpVmSiL8wp+vx9+\nvx+dnZ3q/U6nEwBfV3G73RAEQV3gr6qqQl9fH9ra2tTf45FHHlHTa2lpiZFXOWaz2WAymVBZWQlB\nENRQCNFUVVWhp6cHDocDbW1t6OjowMDAQIIlUVdXFzweDwYHB2PyzifRyr2lpQWNjY0xayLplHl0\nOgA06xygXUfjf6Ns0eOlQHmJyfSFIBmZ3q+Uf6azBFOOLpNkOpJMZD0fxev1xuwT6ejoiDkviiIz\nmUxMFEXW1tbGOjo6mNvtZgaDIen6Qn9/PzOZTGpasiyr/0uSxOx2e8L9yjpC/H4Ku93O7HY7CwQC\nrKenhxkMBubxeJgkScxqtbL6+nomy7L6HF6vN2aeXhRFZrVa1T0AbW1tSdcMionh4WHm8XimWwzd\nyGgNZJIo9dRsNqtz9LIsM5PJxOrr65kkSWo9a2pqYl6vl5lMJubz+Vh/fz8TBEGdz1fqImPJ65xW\nHVXS6e7uZrIsM7vdziorK5kkSayvr48ZDAbN/UW5tLFkbUQhvj1rtcls5E12v9KG48stuq1rkaof\n1KuPJC++xIwjEolgeHgYvb29CVE3ZxIGgyEhvDQxuyEvvgSRBzZv3gybzRazeDvTiJ9aI4jpgkYi\nBEEQMwQaiRAEQRBFBSkRgiAIImdIiRAEQRA5Q0qEIAiCyJm50y1AvjCZTLq6MCcIgih08rXDPxtm\njHUWQRAEkZxZY52VjdsAgiAIYnrJqxKRJAl2ux0GgwFmsxnd3d1p73G5XDAYDOrH5XLlU6QZzdat\nW6dbhIKBymICKosJqCz0J69KpK2tDd3d3arjNCWKXCoGBwcRCATUj15O5GYi1EAmoLKYgMpiAioL\n/cmbEvH5fHC5XFi+fDmWL1+OjRs3orq6Wo0OqIUy6mCMqfcRBEEQxUPelEhDQ0OCEjCZTDEBj+IZ\nHByE3+9HTU2NGlaWIAiCKCJ08Q18ApPJlDQ0bDSBQIDZ7XYmCALz+/0prwVAH/rQhz70yeGjB2lN\nfGVZTrn/Qgn3GI/T6cTKlSsTotmlor6+HkajEb29vRnfQxAEQUwfKTcb+nw+9Pf3p0zAaDQmxGzw\n+/0499xzs1IgAI9U19fXl9U9BEEQxPSRUok0NDTExIfOhGAwiEgkkjQEZSrGxsZQU1OT9X0EQRDE\n9JBXE99AIIBNmzahuroakiRBkiR4vV4MDAyo5xWLLEmSEuIsR8e3JjizbfOlLMvTLULBkGlZzLY6\nQmTOVNSNvLk9CQQCqK2tTThuMpkwOjoKgJv0ejwe7Ny5U91LEg6H0dnZCaPRiObmZpSUlCSkIYoi\nKisrAQCjo6MzOuSpy+VCR0eH+l0UxZi9M+nKoljLKhgMYt26dRgbG8Pg4GDC+ck+dzGVS7qymE11\nRJIkiKKIgYEBGI1GdHZ2or29Peaa2VI3MimLaakbuizX55HGxkbW0dGhfhdFkYmiOI0S6YvD4WDB\nYFD9RJOuLIq5rGRZZna7ndXW1iacm+xzF1u5pCoLxmZXHbHb7epziqLIBEFgbrdbPT+b6ka6smBs\neupGQSuR4eFhJghCjJlwIBBggiCwSCQyfYLpxIYNG5jD4WCBQCDhXLqymAll1draympqamKOTfa5\ni7VctMqCsdlVR7xeb0JHWFNTw5qamhhjs6tupCsLxqavbhScA8ZolN3uy5YtU49VVFTEnJtJpNp8\nmaos+vv7Z2xZTea5Z2K5zKY6km4D82yqG5ls5p6uulHQSmR4eDjhmNFoBMDnB2cavb29CIfDGBoa\nQm1tLRwOh2qUkK4sZmpZTfa5Z1q5zPY6MjQ0hMbGRgBUN6LLApi+ulHQSmS2UlVVhZdeegk2mw09\nPT1pr5+twbjSPfdMLpfZWEecTiceffTRmLflZMz0upGqLKa6bhS0ErFarQnHFLPH6urqqRZnynE4\nHOrzpisLxaIi2fliZbLPPVPLRWG21BGtDcyztW5kupl7qupGQSsRm80GINbWWRlaaZkTzzSiN1+m\nK4u6urqU54uF+LeiyT53MZdLJm+Is6GOJNvAPBvrRjabuaeqbhS0ErFYLGhtbY0ZkvX09EAURc39\nJMVMKBRKufkyXVnMhLIKh8MJ4Tsn+9zFWi5aZTEb60iqDcyzrW6kKovprBtFEWO9ra1NHY6Fw2Gs\nX79+miXKP8FgEA6HI+3my3RlUaxl5fV60draikgkgr6+PtTV1cU495zscxdTuSQri9lWRzLZwAzM\njrqRriwy3bytR1kUhRIhCIIgCpOCns4iCIIgChtSIgRBEETOkBIhCIIgcoaUCEEQBJEzpEQIogCQ\nZRnBYHC6xSCIrEkZ2ZAgZgJerxdOpxOhUAg2mw0Wi0U95/f7UV1djd7e3ozSEkURY2NjGV+fCYFA\nAHV1dVixYgVeeumlvKVLEFMBKRFixtPY2IhQKASn0wmXy5XgDbWtrS3jtJqamvLud6m6uhrNzc0U\noZAoSkiJELOC6I2L8WzYsCHjdBT3EPmG8dg+uqRNEHpCSoSYVcR31B0dHWoIUJ/Ph02bNsFqtUKW\nZfT29sJsNqOnp0dVHn6/H8FgUA1L6nK51JHJ+vXrEQ6HAfA1jq6uLlitVgwNDSEcDsPj8ajKTJZl\ndHR0wGq1YnR0FENDQ1iyZIkqlyRJ8Pl8GB0dVd1XNDQ06Fs4BJELWYXXIogipaenhwmCwOx2O3M4\nHMzhcDCr1ZoQPdBoNLLa2lo1mpvD4WCCIDBZllkgEGA2m41ZrVbGGGNjY2PMZDKp90aHFrVYLDGR\n6ERRVO/TOm+321l9fb2abrRcGzZsYIIgMEmS8lEUBJFXyDqLmFW4XC709vait7cXH3zwQcwiOwAs\nWbIENptN9Tnk8XgAAAMDA6iqqoLdblevVYL2NDU1IRKJqH6GvF4vxsbGYtZenE4nJEnCwMCA5nkl\nihwAddG+u7sb3d3dCIfDsNvttGZCFCQ0nUXMahQvp8koLS2F0WhUp6niGRoagt1uh8lkwoYNG9De\n3o5t27apsRgUFCURCoWwc+dOmM3mpHkODQ3BYrGoU2YEUcjQSISY1VRVVaXdoyHLsqYH1UgkgoqK\nCnzwwQfYsGEDnE4nfD4fLr/8cgDQHDnU1tZiyZIlmiFH2Yn1GqvVqhnXmvaREIUIKRFiVqCMDJiG\nBVRLS0uM2e7Y2Jj6v9frhd1uV6eeol2Qh8NhNYZDe3s7GhsbMTY2hoaGBlgslhirr+h0HA4HgFjT\nYiU+BMBNkmVZRn19PYLBICRJQltbG0wm06TLgSDyDbmCJ2Y8Xq8XHR0dCIVCqKqqUkcV4XAYfr8f\ngiCoysFqtcJkMqG2thZWqxWSJOGRRx4BwNdFRFFEKBRCX18fli9fjsrKSrhcLpSWliIQCKjXRiIR\ntLS0wGKxqOlEx2ZQ0gImos6NjY2htbUVdXV18Pl86jpKTU0NPB5Pwv4WgigESIkQRBSVlZVwOBwF\nGZiIIAoRms4iiCgYbfojiKwgJUIQJ/B6vQiFQvD5fNiyZct0i0MQRQFNZxEEQRA5QyMRgiAIImdI\niRAEQRA5Q0qEIAiCyBlSIgRBEETOkBIhCIIgcoaUCEEQBJEz/x8V7mtvtMvgbwAAAABJRU5ErkJg\ngg==\n"
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Pong"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir              = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa          = loadtxt(ggl_dir + r\"\\dataDump\\pong\\sarsa\\Bounces since reset.txt\")\n",
      "score_sarsa_no_hack  = loadtxt(ggl_dir + r\"\\dataDump\\pong\\sarsaNoHack\\Bounces since reset.txt\")\n",
      "score_random         = loadtxt(ggl_dir + r\"\\dataDump\\pong\\random\\Bounces since reset.txt\")\n",
      "score_always_nothing = loadtxt(ggl_dir + r\"\\dataDump\\pong\\alwaysNothing\\Bounces since reset.txt\")\n",
      "\n",
      "s = scipy.ndimage.filters.uniform_filter1d(score_sarsa,  3, mode=\"reflect\")\n",
      "a = scipy.ndimage.filters.uniform_filter1d(score_random, 3, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(s, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(a, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([-10,55]);\n",
      "lg = legend(loc=8, ncol=3, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Pong} Bounces Per Episode (3 episode moving average)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"pong.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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A6aeLAeyZtCQK7W566SXgXe8S/z+/bi/uqrlmypv3WBkIh8Xz4F96aa5zMrd2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\nvDhIMMYYy4uDBGOMsbz+P7UfW8JdwcnXAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Dance Dance Revolution"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir              = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_hit      = loadtxt(ggl_dir + r\"\\dataDump\\ddr\\sarsa1\\Arrows hit.txt\")\n",
      "score_sarsa_missed   = loadtxt(ggl_dir + r\"\\dataDump\\ddr\\sarsa1\\Arrows missed.txt\")\n",
      "score_random_hit     = loadtxt(ggl_dir + r\"\\dataDump\\ddr\\random1\\Arrows hit.txt\")\n",
      "score_random_missed  = loadtxt(ggl_dir + r\"\\dataDump\\ddr\\random1\\Arrows missed.txt\")\n",
      "\n",
      "sr = score_sarsa_hit.astype(float32)  / (score_sarsa_hit.astype(float32)+score_sarsa_missed.astype(float32))\n",
      "rr = score_random_hit.astype(float32) / (score_random_hit.astype(float32)+score_random_missed.astype(float32))\n",
      "\n",
      "clf();\n",
      "cla();\n",
      "p = plot(sr, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rr, \"r-\", label=r\"Random Guesses\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([-0.2,1.2]);\n",
      "lg = legend(loc=8, ncol=3, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Dance-Dance-Revolution} Fraction of Hits Per Episode\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"ddr.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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qKq5uSvbUU3wDlUvXXz900YwXCPDFWrVmDed/spde4rxR/eQnw9+M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\nQUMIIYRu/x+0WjgwxcOh3wAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Dodge the Missile"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir        = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f  = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Sarsa2\\Frames since reset.txt\")\n",
      "score_sarsa_a  = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Sarsa2\\Candy eaten.txt\")\n",
      "score_random_f = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Random2\\Frames since reset.txt\")\n",
      "score_random_a = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Random2\\Candy eaten.txt\")\n",
      "\n",
      "sf = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f,  3, mode=\"reflect\")\n",
      "rf = scipy.ndimage.filters.uniform_filter1d(score_random_f, 3, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(sf, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rf, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([-1000,5500]);\n",
      "lg = legend(loc=8, ncol=3, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Dodge-The-Missile} Frames Survived Per Episode (3 episode moving average)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"dtm1.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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OHz+OmpoatLa2orq6esb5Z3sa73yf1vvggw8ar3fv3s0RkokoJ/r7gTNnpk8/dQrYuxfY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\n"
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir        = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f  = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Sarsa2\\Frames since reset.txt\")\n",
      "score_sarsa_a  = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Sarsa2\\Candy eaten.txt\")\n",
      "score_random_f = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Random2\\Frames since reset.txt\")\n",
      "score_random_a = loadtxt(ggl_dir + r\"\\dataDump\\dodgeTheMissile\\Random2\\Candy eaten.txt\")\n",
      "\n",
      "sa = scipy.ndimage.filters.uniform_filter1d(score_sarsa_a,  3, mode=\"reflect\")\n",
      "ra = scipy.ndimage.filters.uniform_filter1d(score_random_a, 3, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(sa, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(ra, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([-5,33]);\n",
      "lg = legend(loc=8, ncol=3, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Dodge-The-Missile} Powerups Obtained Per Episode (3 episode moving average)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"dtm2.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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oYGQyiexIG4wUJTXUW0+pB6OC9RmFw2E1w9Fe7Gq1WjE2NgYAOHDggHotEgDY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\nAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Eat the Fruit"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir        = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f  = loadtxt(ggl_dir + r\"\\dataDump\\fruitEater\\Sarsa\\Frames since reset.txt\")\n",
      "score_random_f = loadtxt(ggl_dir + r\"\\dataDump\\fruitEater\\Random\\Frames since reset.txt\")\n",
      "\n",
      "sf = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f,  20, mode=\"reflect\")\n",
      "rf = scipy.ndimage.filters.uniform_filter1d(score_random_f, 20, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(sf, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rf, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([-100,330]);\n",
      "lg = legend(loc=8, ncol=3, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Eat-The-Fruit} Frames to Find Goal Per Episode (20 episode moving average)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"eatTheFruit.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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mTdiwYQMAIDc3F5WVlaivr/dur6+vh8PhQEZGht/tAoFAIEh8whpO7Xa7UV5ejv7+fqxd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\nTkSuQmCC\n"
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir         = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f00 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0\\Frames since reset.txt\")\n",
      "score_sarsa_f01 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_1\\Frames since reset.txt\")\n",
      "score_sarsa_f02 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_2\\Frames since reset.txt\")\n",
      "score_sarsa_f05 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_5\\Frames since reset.txt\")\n",
      "score_sarsa_f09 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_9\\Frames since reset.txt\")\n",
      "score_random_f  = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\random\\Frames since reset.txt\")\n",
      "\n",
      "sf00 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f00, 3, mode=\"reflect\")\n",
      "sf01 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f01, 3, mode=\"reflect\")\n",
      "sf02 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f02, 3, mode=\"reflect\")\n",
      "sf05 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f05, 3, mode=\"reflect\")\n",
      "sf09 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f09, 3, mode=\"reflect\")\n",
      "rf   = scipy.ndimage.filters.uniform_filter1d(score_random_f,  3, mode=\"reflect\")\n",
      "\n",
      "Blues = get_cmap('Blues')  # this returns a colormap\n",
      "\n",
      "cla();\n",
      "p = plot(sf00, \"b-\", label=r\"$\\lambda=0.0$\", color=Blues(0.2));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(sf01, \"b-\", label=r\"$\\lambda=0.1$\", color=Blues(0.4));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(sf05, \"b-\", label=r\"$\\lambda=0.5$\", color=Blues(0.8));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(sf09, \"b-\", label=r\"$\\lambda=0.9$\", color=Blues(1.0));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rf, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "xlim([0,100]);\n",
      "ylim([0,550]);\n",
      "lg = legend(loc=1, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Grid-World} Frames to Find Goal Per Episode (3 episode moving average)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"gridWorld1.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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PlFAkJSWhuLgY6enp0Ov1iIuLQ2lpqeB3fO35OAqFKBxLjHMwi4LBYAxgXDvR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\ndFyyypkWCgAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir         = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f00 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0\\Frames since reset.txt\")\n",
      "score_sarsa_f01 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_1\\Frames since reset.txt\")\n",
      "score_sarsa_f02 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_2\\Frames since reset.txt\")\n",
      "score_sarsa_f05 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_5\\Frames since reset.txt\")\n",
      "score_sarsa_f09 = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\lambda_0_9\\Frames since reset.txt\")\n",
      "score_random_f  = loadtxt(ggl_dir + r\"\\dataDump\\gridWorld\\random\\Frames since reset.txt\")\n",
      "\n",
      "sf00 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f00, 3, mode=\"reflect\")\n",
      "sf01 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f01, 3, mode=\"reflect\")\n",
      "sf02 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f02, 3, mode=\"reflect\")\n",
      "sf05 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f05, 3, mode=\"reflect\")\n",
      "sf09 = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f09, 3, mode=\"reflect\")\n",
      "rf   = scipy.ndimage.filters.uniform_filter1d(score_random_f,  3, mode=\"reflect\")\n",
      "\n",
      "Blues = get_cmap('Blues')  # this returns a colormap\n",
      "\n",
      "cla();\n",
      "p = plot(sf00, \"b-\", label=r\"$\\lambda=0.0$\", color=Blues(0.2));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(sf01, \"b-\", label=r\"$\\lambda=0.1$\", color=Blues(0.4));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(sf05, \"b-\", label=r\"$\\lambda=0.5$\", color=Blues(0.8));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(sf09, \"b-\", label=r\"$\\lambda=0.9$\", color=Blues(1.0));\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "ylim([0,150]);\n",
      "xlim([0,100]);\n",
      "lg = legend(loc=1, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Grid-World} Frames to Find Goal (3 episode moving average)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"gridWorld2.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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CSWAjEAhpJK5QGBoawtjYGCYmJvDUU0/BZrvp1Ozv7wfDMOjr60NfXx90Oh2e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\nRiaKLBRkZGRkZKLIQkFGRkZGJsr/B5U75ABqr7YqAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Snake"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir        = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f  = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\noApplesEmptyBoard\\sarsa1\\Frames since reset.txt\")\n",
      "score_random_f = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\noApplesEmptyBoard\\random1\\Frames since reset.txt\")\n",
      "\n",
      "sf = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f,  20, mode=\"reflect\")\n",
      "rf = scipy.ndimage.filters.uniform_filter1d(score_random_f, 20, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(sf, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rf, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([0,210]);\n",
      "lg = legend(loc=2, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Snake} Frames Survived Per Episode (easy level, short tail)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"snake1.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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Ken7xC+Cvf9XO33kn/doXXsg/HdmsBYiag+ToowGzad+OOUbsX3sN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\n"
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir        = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f  = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\tail10\\sarsa1\\Frames since reset.txt\")\n",
      "score_random_f = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\tail10\\random1\\Frames since reset.txt\")\n",
      "\n",
      "sf = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f,  20, mode=\"reflect\")\n",
      "rf = scipy.ndimage.filters.uniform_filter1d(score_random_f, 20, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(sf, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rf, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([0,210]);\n",
      "lg = legend(loc=2, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Snake} Frames Survived Per Episode (easy level, long tail)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"snake2.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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KiEgymZTx8XFJJpO25Y6NjUkkErHSuN1uEVFVWeXpzP/NdQYCAUkkEjI1NWWrZotEIhIM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\nQUREjjFoEBGRYwwaRETkGIMGERE59v8DmWm2fiqpKjkAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir        = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f  = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\noApplesLevel3\\sarsa1\\Frames since reset.txt\")\n",
      "score_random_f = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\noApplesLevel3\\random1\\Frames since reset.txt\")\n",
      "\n",
      "sf = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f,  20, mode=\"reflect\")\n",
      "rf = scipy.ndimage.filters.uniform_filter1d(score_random_f, 20, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(sf, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rf, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([0,210]);\n",
      "lg = legend(loc=2, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Snake} Frames Survived Per Episode (hard level, short tail)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"snake3.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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TEC79cRxyiIhLz/v884HlyydX/rkACw2GYWYNZi/93l5tP1dP43OfAxobzeOO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\nGIZhLPP/Ael5Gz2JmhlJAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ggl_dir        = r\"C:\\Users\\mike\\Documents\\Work\\Subversion\\GoogleCode\\general-game-learning\"\n",
      "score_sarsa_f  = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\noApplesLevel3Tail10\\sarsa1\\Frames since reset.txt\")\n",
      "score_random_f = loadtxt(ggl_dir + r\"\\dataDump\\snakeOnline\\noApplesLevel3Tail10\\random1\\Frames since reset.txt\")\n",
      "\n",
      "sf = scipy.ndimage.filters.uniform_filter1d(score_sarsa_f,  20, mode=\"reflect\")\n",
      "rf = scipy.ndimage.filters.uniform_filter1d(score_random_f, 20, mode=\"reflect\")\n",
      "\n",
      "cla();\n",
      "p = plot(sf, \"b-\", label=r\"Our Method\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'b')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'b')\n",
      "\n",
      "p = plot(rf, \"r-\", label=r\"Random Movement\");\n",
      "setp(p, 'markersize', 5)\n",
      "setp(p, 'markerfacecolor', 'r')\n",
      "setp(p, 'markeredgewidth', 0)\n",
      "setp(p, 'markeredgecolor', 'r')\n",
      "\n",
      "ylim([0,210]);\n",
      "lg = legend(loc=2, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "xlabel(r\"Episode\", fontsize=16);\n",
      "title(r\"\\textsc{Snake} Frames Survived Per Episode (hard level, long tail)\", fontsize=12);\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"snake4.pdf\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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SDoerekULBALS2tpqPZgtFouJz+cT0zQln89LR0eHhMNh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\n"
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cdtdf = 7.57675\n",
      "cdtsf = 0.886596\n",
      "cstdf = 6.80377\n",
      "cstsf = 0.106319\n",
      "\n",
      "clf();\n",
      "\n",
      "figsize(8, 2);\n",
      "\n",
      "barh([1, 2, 3, 4], [cdtdf, cdtsf, cstdf, cstsf], align=\"center\");\n",
      "yticks(\n",
      "    (1, 2, 3, 4),\n",
      "    (\"Dense Traces, Dense Features\",\"Dense Traces, Sparse Features\",\"Sparse Traces, Dense Features\",\"Sparse Traces, Sparse Features\"))\n",
      "\n",
      "lg = legend(loc=2, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "title(r\"\\textsc{Dodge-The-Missile} Cumulative Computation Time (Seconds)\");\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"perf1.pdf\", bbox_inches=\"tight\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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RERERbRQbmURERES0dmxkEhEREdHaLTTxp9Vq4eTkBN1uF8lkEul0GgDQ6/UQ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\ngBd2AAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sparsef = 1000 * (1.0/1000.0)\n",
      "densef  = 129600 * (1.0/1000.0)\n",
      "\n",
      "clf();\n",
      "\n",
      "figsize(8, 1);\n",
      "\n",
      "barh([1, 2], [densef, sparsef], align=\"center\");\n",
      "yticks(\n",
      "    (1, 2),\n",
      "    (\"Dense\", \"Sparse\"))\n",
      "\n",
      "lg = legend(loc=2, ncol=1, handletextpad=0, handlelength=1.2);\n",
      "title(r\"\\textsc{Dodge-The-Missile} Average Number of Features (Thousands)\");\n",
      "\n",
      "tick_params(labelsize=16);\n",
      "\n",
      "savefig(\"perf2.pdf\", bbox_inches=\"tight\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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     "prompt_number": 20
    }
   ],
   "metadata": {}
  }
 ]
}